UWA Handbook 2017

Unit details

STAT2401 Analysis of Experiments

Credit 6 points
  Offering
(see Timetable)
AvailabilityLocationMode
Semester 1UWA (Perth)Face to face
Details for undergraduate courses
  • Level 2 core unit in the Quantitative Methods major sequence
  • Level 2 complementary unit in the Data Science major sequence
  • Category A broadening unit for Bachelor of Arts, Bachelor of Commerce and Bachelor of Design students
  • Category A broadening unit for Bachelor of Science students where relevant according to the broadening requirements for each student
  • Level 2 elective
Content This unit introduces the principles of randomised experiments and practical quantitative tools for analysing the data from such experiments. The emphasis is on choosing and applying appropriate methods, rather than technical details and formal inference. Topics include controlled experiments versus observational studies; different experimental designs—confounding, misinterpretation; biases—blinding and randomisation; and analysis—linear regression, linear models and analysis of variance.
Outcomes Students are able to (1) demonstrate skills in the statistical analysis of data from designed experiments and observational studies; (2) apply the fundamentals of designing random experiments in different situations; (3) articulate the use of linear models; (4) develop and apply linear models for data from real-world experiments and studies; and (5) proficiently use a statistical computer package for linear modelling.
Assessment Typically this unit is assessed in the following ways: (1) assignments; (2) tests or quizzes; and (3) a final examination. Further information is available in the unit outline.

Supplementary assessment is not available in this unit except in the case of a bachelor's pass degree student who has obtained a mark of 45 to 49 overall and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete their course.
Unit Coordinator(s) Associate Professor John Lau
Unit rules
Prerequisites: STAT1400 Statistics for Science or STAT1520 Economic and Business Statistics or MATH1002 Mathematical Methods 2 or MATH1012 Mathematical Theory and Methods or MATH1020 Calculus, Probability and Statistics (students enrolled in the Master of Data Science may take one of these units as a co-requisite)
Incompatibility: STAT2227 Applied Linear Modelling
Contact hours lectures: 2 hours per week; labs: 2 hours per week
Unit Outlinehttp://www.unitoutlines.ecm.uwa.edu.au/Units/STAT2401/SEM-1/2017

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